Foundations of statistical natural language processing
Foundations of statistical natural language processing
Information Retrieval
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Towards the development of a conceptual distance metric for the UMLS
Journal of Biomedical Informatics
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
Towards a combined model for search and navigation of annotated documents
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Concept models for domain-specific search
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
An evaluation of corpus-driven measures of medical concept similarity for information retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
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Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or context have been proposed to indicate the relatedness of abstract ideas. We propose a method based on the cross entropy reduction between language models of concepts which are estimated based on document-concept assignments. The approach shows improved or competitive results compared to state-of-the-art methods on two test sets in the biomedical domain.